Business Research Analyst - I, RBS Sciences

As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models.

Key job responsibilities

Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements

Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap

Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry

Coordinate design efforts between Sciences and Software teams to deliver optimized solutions

Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.

Familiar with ML and LLMs models and able to work independently.

About the team

Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. We work to solve problems related to entity extraction for Catalog completeness and consistency, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision. RBS Sciences team has grown to 11+ Applied Scientists and created multi-million dollar impact by developing foundational models for these business problems. Team has also contributed significantly in innovation space by publishing research papers (both internal Amazon and external conferences) and Patents over last 3 years.

Basic Qualifications

Basic Qualifications

Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)

1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms

Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory

Strong analytical thinking

Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills

Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

Preferred Qualifications

Preferred Qualifications

Master's degree with specialization in ML, NLP or Computer Vision preferred

1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)

Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

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